Collaborative Research: EAGER: SaTC-EDU: Teaching High School Students about Cybersecurity and Artificial Intelligence Ethics via Empathy-Driven Hands-On Projects
合作研究:EAGER:SaTC-EDU:通过同理心驱动的实践项目向高中生传授网络安全和人工智能伦理知识
基本信息
- 批准号:2114991
- 负责人:
- 金额:$ 15.48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-07-01 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Empathy, a unique human capacity to think from others' perspectives and feel for others, is an essential skill that will not be replaced by automation. While empathy is valued, there have been serious concerns about its absence in technology development. This project seeks to address that gap by developing hands-on labs to train high school students and to increase their empathy of others so that they can identify cybersecurity and artificial intelligence (AI) ethics issues. The hands-on labs developed in this project will be made publicly available so schools or teachers may freely use them. These labs, workshops, and summer camps will improve high school students' knowledge of, as well as skills and career interests in, cybersecurity and AI ethics. These activities will also foster high school students' empathy for others, especially young children. This project will help the next-generation workforce learn and apply knowledge and skills in designing and using future technologies in a secure and ethical manner. This project presents a radically different approach to integrating cybersecurity and AI ethics education. It will use an empathy-driven approach to teach high school students about young children who are most vulnerable to cybersecurity and AI ethics issues. To enhance empathetic responses to young children, the project will include real-life examples of young children who are interacting with unethical AI or exposed to cybersecurity risks. Specifically, this project aims to develop, deploy and evaluate hands-on labs to train high school students and to increase their empathy of others in the context of cybersecurity and AI ethics issues. The labs will cover a wide variety of scenarios such as online gaming, social media, mobile apps, and smart toys. In addition to knowledge-based measures, this project will explore the usage of a cutting-edge non-invasive neuro-imaging technique, functional near-infrared spectroscopy (fNIRS), to assess the impact of these labs on the activation of brain regions associated with empathy in high school students. This project is supported by a special initiative of the Secure and Trustworthy Cyberspace (SaTC) program to foster new, previously unexplored, collaborations between the fields of cybersecurity, artificial intelligence, and education. The SaTC program aligns with the Federal Cybersecurity Research and Development Strategic Plan and the National Privacy Research Strategy to protect and preserve the growing social and economic benefits of cyber systems while ensuring security and privacy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
同理心是一种独特的人类能力,能够从他人的角度思考和感受他人,是一项基本技能,不会被自动化所取代。虽然同理心很重要,但人们一直对它在技术开发中的缺失感到严重担忧。该项目旨在通过开发动手实验室来培训高中生,并增加他们对他人的同理心,以便他们能够识别网络安全和人工智能(AI)道德问题,从而解决这一差距。在这个项目中开发的动手实验室将公开提供,以便学校或教师可以自由使用。这些实验室、研讨会和夏令营将提高高中生对网络安全和人工智能伦理的知识、技能和职业兴趣。这些活动还将培养高中生对他人的同理心,特别是年幼的孩子。该项目将帮助下一代劳动力以安全和合乎道德的方式学习和应用设计和使用未来技术的知识和技能。该项目提供了一种完全不同的方法来整合网络安全和人工智能伦理教育。它将使用同理心驱动的方法,向高中生传授最容易受到网络安全和人工智能道德问题影响的幼儿的知识。为了加强对幼儿的同理心反应,该项目将包括与不道德的人工智能互动或暴露在网络安全风险中的幼儿的真实例子。具体地说,该项目旨在开发、部署和评估动手实验室,以培训高中生,并在网络安全和人工智能伦理问题的背景下增加他们对他人的同理心。这些实验室将涵盖各种场景,如在线游戏、社交媒体、移动应用程序和智能玩具。除了基于知识的措施外,该项目还将探索使用尖端的非侵入性神经成像技术--功能性近红外光谱(FNIRS)--来评估这些实验室对高中生与同理心相关的大脑区域激活的影响。该项目得到了安全和值得信赖的网络空间(SATC)计划的一项特别倡议的支持,该计划旨在促进网络安全、人工智能和教育领域之间新的、以前从未探索过的合作。 SATC 计划与联邦网络安全研究与发展战略计划和国家隐私研究战略保持一致,以保护和维护网络系统日益增长的社会和经济效益,同时确保安全和隐私。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Using fNIRS To Understand Adults’ Empathy for Children in AI and Cybersecurity Scenarios
使用 fNIRS 了解人工智能和网络安全场景中成人对儿童的同理心
- DOI:10.1145/3585088.3593869
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Ashraf, Mohsena;Patterson, Genevieve;Kilhoffer, Zachary;Han, Xu;Brady, Nolan;Rahn, Anna;Atluri, Nikhitha;Oliver, Violet;Huang, Yun;Wang, Yang
- 通讯作者:Wang, Yang
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Yang Wang其他文献
A New DDSCR structure with high holding voltage for robust ESD applications
具有高保持电压的新型 DDSCR 结构,适用于稳健的 ESD 应用
- DOI:
10.1088/1674-1056/abd38f - 发表时间:
2021 - 期刊:
- 影响因子:1.7
- 作者:
Zi-Jie Zhou;Xiang-Liang Jin;Yang Wang;Peng Dong - 通讯作者:
Peng Dong
Foresee Urban Sparse Traffic Accidents: A Spatiotemporal Multi-Granularity Perspective
预见城市稀疏交通事故:时空多粒度视角
- DOI:
10.1109/tkde.2020.3034312 - 发表时间:
2022-08 - 期刊:
- 影响因子:0
- 作者:
Zhengyang Zhou;Yang Wang;Xike Xie;Lianliang Chen;Chaochao Zhu - 通讯作者:
Chaochao Zhu
Correlation of choroidal thickness with age in healthy subjects: automatic detection and segmentation using a deep learning model
健康受试者脉络膜厚度与年龄的相关性:使用深度学习模型自动检测和分割
- DOI:
10.1007/s10792-022-02292-8 - 发表时间:
2021 - 期刊:
- 影响因子:1.6
- 作者:
Chengshan Lin;Yu Huang;W. Hsia;Yang Wang;Chia - 通讯作者:
Chia
Structure-activity relationships OF N-methylthiolated beta-lactam antibiotics with C3 substitutions and their selective induction of apoptosis in human cancer cells.
具有 C3 取代的 N-甲硫基 β-内酰胺抗生素的构效关系及其对人类癌细胞凋亡的选择性诱导。
- DOI:
10.2741/1611 - 发表时间:
2005 - 期刊:
- 影响因子:0
- 作者:
D. Kuhn;Yang Wang;V. Minić;Cristina M. Coates;G. Reddy;K. Daniel;J. Shim;Di Chen;K. Landis;F. Miller;E. Turos;Q. Dou - 通讯作者:
Q. Dou
FCA assisted IF Channel Construction towards Formulating Conceptual Data Modeling
FCA 协助中频通道建设制定概念数据模型
- DOI:
- 发表时间:
2006 - 期刊:
- 影响因子:0
- 作者:
Yang Wang;Yang Wang - 通讯作者:
Yang Wang
Yang Wang的其他文献
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{{ truncateString('Yang Wang', 18)}}的其他基金
Characterizing the Physical, Chemical, and Toxicological Properties of Secondhand Aerosols Generated from Electronic Nicotine Delivery Systems in Indoor Environments
表征室内环境中电子尼古丁传输系统产生的二手气溶胶的物理、化学和毒理学特性
- 批准号:
2324142 - 财政年份:2023
- 资助金额:
$ 15.48万 - 项目类别:
Standard Grant
Frequency-Domain Model Updating through Branch and Bound with Convex Relaxation
通过凸松弛的分支定界更新频域模型
- 批准号:
2211343 - 财政年份:2023
- 资助金额:
$ 15.48万 - 项目类别:
Standard Grant
Characterizing the Physical, Chemical, and Toxicological Properties of Secondhand Aerosols Generated from Electronic Nicotine Delivery Systems in Indoor Environments
表征室内环境中电子尼古丁传输系统产生的二手气溶胶的物理、化学和毒理学特性
- 批准号:
2204659 - 财政年份:2022
- 资助金额:
$ 15.48万 - 项目类别:
Standard Grant
Collaborative Research: PPoSS: LARGE: ScaleStuds: Foundations for Correctness Checkability and Performance Predictability of Systems at Scale
合作研究:PPoSS:大型:ScaleStuds:大规模系统正确性可检查性和性能可预测性的基础
- 批准号:
2118745 - 财政年份:2021
- 资助金额:
$ 15.48万 - 项目类别:
Continuing Grant
Collaborative Research: SaTC: CORE: Medium: Novel Algorithms and Tools for Empowering People Who Are Blind to Safeguard Private Visual Content
协作研究:SaTC:核心:媒介:帮助盲人保护私人视觉内容的新颖算法和工具
- 批准号:
2126314 - 财政年份:2021
- 资助金额:
$ 15.48万 - 项目类别:
Standard Grant
Collaborative Research: Gateway to North America--the Great American Biotic Interchange (GABI) in Mexico and Origin of C4 Grassland
合作研究:北美门户——墨西哥大美洲生物交汇处(GABI)与C4草原起源
- 批准号:
1949814 - 财政年份:2020
- 资助金额:
$ 15.48万 - 项目类别:
Standard Grant
Collaborative Research: Element: Development of MuST, A Multiple Scattering Theory based Computational Software for First Principles Approach to Disordered Materials
合作研究:元素:MuST 的开发,一种基于多重散射理论的计算软件,用于无序材料的第一原理方法
- 批准号:
1931525 - 财政年份:2019
- 资助金额:
$ 15.48万 - 项目类别:
Standard Grant
CAREER: Inclusive Privacy: Effective Privacy Management for People with Visual Impairments
职业:包容性隐私:针对视力障碍人士的有效隐私管理
- 批准号:
2028387 - 财政年份:2019
- 资助金额:
$ 15.48万 - 项目类别:
Continuing Grant
CNS Core: SMALL: Clarifying Experimenter Bias by Identifying and Visualizing Experiment Bottlenecks
CNS 核心:SMALL:通过识别和可视化实验瓶颈来澄清实验者偏见
- 批准号:
1908020 - 财政年份:2019
- 资助金额:
$ 15.48万 - 项目类别:
Standard Grant
CAREER: Inclusive Privacy: Effective Privacy Management for People with Visual Impairments
职业:包容性隐私:针对视力障碍人士的有效隐私管理
- 批准号:
1652497 - 财政年份:2017
- 资助金额:
$ 15.48万 - 项目类别:
Continuing Grant
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